On September 14, Google rolled out its crucial “September 2023 Helpful Content Update.” The last content update was rolled out in December 2022. While many are expecting this update will have much focus on algorithm updates, there is nothing specific about it yet.
As with other updates, small improvements and tweaks will also take place. The update is expected to finish rolling out in the next two weeks. Whenever Google rolls out a new update, most site owners relate it to their search engine ranking fluctuations. However, it can be more than that - probably due to changes from your competitors.
That being said, we don’t expect much change in this update. Still, it is worth knowing. So, let’s start!
Google’s helpful content update is a way of rewarding content that is useful and relevant to users, not just for ranking top on search engines. It was launched about a year ago, and it aims to filter out content that is low-quality, spammy, or misleading.
Some examples of content that Google’s helpful content update targets are:
Google’s helpful content update is based on various factors, such as the quality, authority, and trustworthiness of the content, the website, and the author. It also considers user feedback, such as the click-through rate, the bounce rate, and the dwell time.
The content update is not a one-time event, but a continuous process that evaluates and ranks content according to its helpfulness and relevance. Therefore, content creators should always focus on creating high-quality content that meets the needs and expectations of their audience.
The new Google content update will continue to work as its previous counterparts, rewarding useful and relevant content. It prioritizes showing the content that is written by a human and helps solve users' queries, rather than the content that is written solely with the intention of ranking in the search engines.
The new update will have three major changes that are quite interesting. Here’s a detailed information:
Google has added a few additions to its helpful content guidelines:
We are glad to hear that Google is taking action against this issue. It’s not fair that some people can manipulate the date of an article and trick the system, but it still works occasionally in 2023. This update is a good step towards improving the quality and relevance of online content.
The new update seems to be suggesting that it is okay to use machine-generated content if it is helpful and relevant to the user’s query. In the new guideline, Google has replaced the phrase - “written by people” with “helpful content created for people in search results.” The changes in the guidelines have hinted at the use of AI in content creation.
“Google Search’s helpful content system generates a signal used by our automated ranking systems to better ensure people see original, helpful content written by people, for people, in search results.”
“Google Search’s helpful content system generates a signal used by our automated ranking systems to better ensure people see original, helpful content created for people in search results.”
We agree that having a subject expert is more likely to result in helpful, accurate, and insightful content than using AI, but AI can still be useful in some situations. For example, AI can help with generating content faster, finding relevant information, or adding some creativity. But AI cannot replace the human touch and the deep knowledge that a subject expert has.
Google has updated its guidelines on how to deal with third-party content on your site.
The new guidelines say:
“If you have content from other sources on your main site or your subdomains, you should know that this content may affect how we evaluate your site, such as the helpfulness of content. Therefore, if that content is not related to your site’s purpose or is not created with your supervision or involvement, we suggest that you should prevent Google from indexing it.”
You don’t need to worry too much about this update. It will take some time to fully roll out, so don’t jump to any conclusions too soon. These are not major changes and they are meant to reward high-quality content, so if you are doing the right things, you should be fine.
Dairy Delivery Software
Native Milk always had to deal with route optimization to maximize profit and frequent changing of delivery boys. While this was easily manageable manually in offline business, it was a big headache when their business went digital.
We developed a mobile application for the drivers with route optimization. The total delivery area is divided into various routes and orders are sorted according to different routes. A driver is then assigned a single route.
PlanTech, (Construction Project Management software Case Study) a well-established US based construction company with huge projects, needed an improvement of their business processes and better optimization of their resources. As their business expanded, projects continuously got delayed which resulted in lawsuits by unhappy clients. We faced a variety of challenges to develop niche technological solutions for a company involved in the construction industry.
We designed separate web and mobile applications for foremen i.e. project managers and for construction staff (labourers). The applications has synchronized features such as calendar, attendance etc. that were updated real time Simple user interface for the layman was developed after many iterations and approval from the client.
We developed a dedicated central project management panel. The purpose was to have a centralised system update where all team leaders from different departments could update on their tasks at work.
We needed a fast technology to synchronize the source data to our system.
We had to run our programs real time during the horse race.
We ran our calculations on the given data, but by the time we generated an analysis of the probable winner, the market trends and positions of the race horses altered so our result had no value.
The reason behind using node.js is that we were able to establish a swift and persistent connection between betfair and our algorithm.
We could run our program with race data and generate results using the latest trends up-to-the-second with more than 99 % of the source data matching with our index.
On-Demand Delivery App
The client was clear with their needs but was not tech savvy enough to state specific requirements.
In GetIt the driver and vendor are treated as separate entities unlike a regular taxi application where such division does not exist.
We initiated brainstorming sessions with the client to plan out the project.
We built application functionality to optimize the process while simultaneously taking all stakeholders into account.
The client had an understanding of NFC but they had no idea of how the technology behind NFC works.
The client needed a secure platform as they wanted to keep the customer data secured.
We did a knowledge transfer with the client and explained the technology behind NFC and QR code.
We undertook a variety of security measures to prevent any leakage of user data.
The oldest insurance company of Lebanon reached out to us. They needed to digitize their operations and develop a lending application.
The target customers of the bank were mostly laymen with not much technical know-how. They consisted of old people, rural families, middle class urban families etc. Thus digitization was a challenge.
We developed a mechanism for the bank to directly disburse the loan amount to the customer’s bank account. This saved a trip to the bank of the customer and saved a lot of time for both the parties.